Analisis Kinerja Wireless Access Point Menggunakan Wifi Monitoring Tools Berbasis Raspberry Pi 3

Komputer mini sekarang cukup maju hingga dapat dimanfaatkan dalam berbagai bidang. Salah satu komputer mini yang banyak digunakan adalah Raspberry Pi 3. Raspberry Pi 3 adalah salah satu komputer mini yang memiliki fitur berupa wireless LAN. Fitur wireless LAN pada komputer mini dapat dimanfaatkan sebagai Wireless Access Point. Sehingga Raspberry Pi 3 dapat menjadi alternatif Wireless Access Point. Namun komputer mini mempunyai kemampuan yang berbeda dengan Wireless Access Point pada umumnya karena mempunyai spesifikasi yang berbeda. Tujuan dari penelitian ini adalah untuk mengetahui kinerja dari Wireless Access Point yang berbasis Raspberry Pi 3. Raspberry Pi 3 dihubungkan dengan laptop yang sudah terhubung dengan internet melalui kabel LAN dengan tujuan agar Raspberry Pi 3 dapat terhubung ke internet. Raspberry Pi 3 dikonfigurasikan sebagai Wireless Access Point (WAP) dan diprogram untuk pengambilan data dan monitoring yang berupa trafik dan informasi user yang ditampilkan dalam tampilan web. Pada penelitian ini telah dilakukan pengujian Raspberry Pi 3 sebagai Wireless Access Point. Kemampuan Raspberry Pi 3 sebagai Wireless Access Point sangat dipengaruhi oleh trafik yang dilakukan oleh user. Menurut hasil pengujian Raspberry Pi 3 sebagai Wireless Access Point memiliki batas maksimum user sejumlah 13 dengan beban trafik yang tinggi, 17 user dengan beban yang sedang dan 27 dengan beban yang rendah. Hal ini menunjukkan bahwa Raspberry Pi 3 layak digunakan sebagai Wireless Access point dalam skala kecil.

Ultra-HD Video Streaming in 5G Fixed Wireless Access Bottlenecks

5G Fixed Wireless Access (FWA) is an enabling technology in intelligent systems (IS) that may provide Ultra-HD (UHD) video streaming services with high Quality of Experience (QoE) in a small business use case setting. However, UHD streaming over 5G FWA is difficult in terms of latency and dependability due to numerous network factors. Due to this there may be multiple video players competing for network resources when streaming a UHD video. To date there has been very little work of 5G ‘last mile access’ streaming over bottleneck FWA Local Area Networks (LANs) under congested network conditions. The bottleneck link is the 5G FWA gateway. In these networks viewers may get sub-optimal QoE. Adaptive bitrate (ABR) algorithms are used to select the near optimal bitrates during a streaming session. To obtain the QoE of viewers in 5G FWA bottleneck networks we study the performance of four DASH-based adaptive video streaming algorithms (MPC, BOLA, Oboe and Pensive). BOLA performs the best and Pensive the worst. However, BOLA’s overall performance is sub-optimal. This work supports the need for developing new ABR algorithms for the 5G FWA environment.

USING FEDERATED MACHINE LEARNING FOR ACCESS POINT SELECTION IN THE HETEROGENEOUS NETWORK

The problem of selecting a wireless access network in a highly heterogeneous environment has been analyzed and solved. A network selection model based on the analysis of a wireless network environment using a federated reinforcement machine learning system is proposed. A model has been developed to estimate the theoretical average capacity available to the user in a highly heterogenic access network. The effectiveness of the proposed method was evaluated using a series of experiments. The article is concluded with a discussion regarding the applicability of the proposed method for IMT-2020 and IMT-2030 networks.

Survey on Massive MIMO: Technology, Challenges, Opportunities and Benefits

Wireless communication technologies have been studied and explored in response to the global shortage of bandwidth in the field of wireless access. Next-generation networks will be enabled by massive MIMO. Using relatively simple processing, it provides high spectral and energy efficiency by combining antennas at the receiver and transmitter. This paper discusses enabling technologies, benefits, and opportunities associated with massive MIMO, and all the fundamental challenges. Global enterprises, research institutions, and universities have focused on researching the 5G mobile communication network. Massive MIMO technologies will utilize simpler and linear algorithms for beam forming and decoding. As part of future 5G, massive MIMO technology will be used to increase the efficiency of spectrum utilization and channel capacity. The paper then summarizes the technologies that are used in massive MIMO system, including channel estimation, pre-coding, and signal detection.

Whole Scenario of 5G Communication Access in the Digital Transformation of Medium and Large Enterprises

With the evolution and upgrading of the fifth-generation mobile communication technology, the mobile network will support a larger mobile user group and more diverse business scenarios, greatly enhance the Internet service experience, and fully support IoT-aware applications. As the forefront of the Internet of Everything, the wireless access network plays an important role in the evolution of the network. The continuous innovation of a new generation of information technology, especially the application of technologies such as big data, cloud computing, artificial intelligence, and the Internet of Things, has triggered an upsurge in the digital transformation of enterprises. Digital transformation has had a profound impact on the production and operation activities of enterprises and has also changed the organization and management of enterprise innovation activities. From the perspective of the innovation ecosystem, the digital transformation of a single enterprise leads to changes in innovation activities, which will converge and emerge new characteristics at the system level. The purpose of this article is to study the full scenarios of 5G communication access in the digital transformation of medium and large enterprises. This article starts with the development trend of wireless access networks, analyzes network slicing technologies in detail, and points out that wireless access networks are moving towards 5G. Important challenges are faced in the development of the times. Based on the adaptive random access model proposed in this paper, a feedback adaptive optimization method is proposed. This method estimates the real access load through feedback and calculates the access threshold through the access load. Then, broadcast the threshold value to each user equipment through downlink broadcast. The results show that the normalized throughput rate of random access methods using AC-RACH and FC-RACH is higher than that of RA-RACH. Especially, when the arrival rate of user requests is getting higher and higher, the throughput rate of RA-RACH access will continue to decrease with the collision until it approaches zero. By comparing the key data of normalized throughput rate and access success rate, it is concluded that the feedback adaptive method has a significant performance improvement under heavy load conditions compared with the previous method.

ENHANCED DYNAMIC COMPUTATIONS IN NAMED DATA WIRELESS NETWORKS

Проанализирована и решена проблема управления распределенными вычислениями в беспроводной сети доступа в условиях высокой динамики доступности ресурсов. Предложен метод выбора сервера в сети именованных данных, использующий точку беспроводного доступа в качестве брокера, представляющего интересы мобильного пользователя. Реализована имитационная модель в программной среде ndnSIM, позволяющая экспериментально оценить производительность предложенныхрешений. Численные результаты, полученные в результате эксперимента, показали, что разработанные решения в значительной степени превосходят существующие технологий в части снижения задержки. This work proposes a method for edge server selection in radio access networks, assuming high temporal and spatial dynamics of user demands. A method for selecting a server in a named data network using a wireless access point as a broker representing the interests of a mobile user is proposed. A simulation model is implemented in the ndnSIM software environment, which makes it possible to experimentally evaluate the performance of the proposed solutions. Our numerical experiment results demonstrated that proposed solutions are significantly outperformed legacy network architectures in terms of reducing the latency.